Matches in SemOpenAlex for { <https://semopenalex.org/work/W2091746596> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2091746596 endingPage "1196" @default.
- W2091746596 startingPage "1192" @default.
- W2091746596 abstract "Dementia is one of the most common neurological disorders among the elderly. Identifying those who are of high risk suffering dementia is important for early diagnosis in order to slow down the disease progression and help preserve some cognitive functions of the brain. To achieve accurate classification, significant amount of subject feature information are involved. Hence identification of demented subjects can be transformed into a pattern classification problem. In this letter, we introduce a graph based semi-supervised learning algorithm for Medical Diagnosis by using partly labeled samples and large amount of unlabeled samples. The new method is derived by a compact graph that can well grasp the manifold structure of medical data. Simulation results show that the proposed method can achieve better sensitivities and specificities compared with other state-of-art graph based semi-supervised learning methods." @default.
- W2091746596 created "2016-06-24" @default.
- W2091746596 creator A5010836514 @default.
- W2091746596 creator A5050716572 @default.
- W2091746596 creator A5061195038 @default.
- W2091746596 creator A5073780213 @default.
- W2091746596 date "2014-10-01" @default.
- W2091746596 modified "2023-10-17" @default.
- W2091746596 title "Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer’s Disease" @default.
- W2091746596 cites W1969198379 @default.
- W2091746596 cites W2001199794 @default.
- W2091746596 cites W2053186076 @default.
- W2091746596 cites W2083522073 @default.
- W2091746596 cites W2132709984 @default.
- W2091746596 cites W2133442079 @default.
- W2091746596 cites W2135496738 @default.
- W2091746596 cites W2157497013 @default.
- W2091746596 doi "https://doi.org/10.1109/lsp.2014.2329056" @default.
- W2091746596 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5365156" @default.
- W2091746596 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28344434" @default.
- W2091746596 hasPublicationYear "2014" @default.
- W2091746596 type Work @default.
- W2091746596 sameAs 2091746596 @default.
- W2091746596 citedByCount "23" @default.
- W2091746596 countsByYear W20917465962015 @default.
- W2091746596 countsByYear W20917465962016 @default.
- W2091746596 countsByYear W20917465962017 @default.
- W2091746596 countsByYear W20917465962018 @default.
- W2091746596 countsByYear W20917465962019 @default.
- W2091746596 countsByYear W20917465962020 @default.
- W2091746596 countsByYear W20917465962021 @default.
- W2091746596 countsByYear W20917465962022 @default.
- W2091746596 countsByYear W20917465962023 @default.
- W2091746596 crossrefType "journal-article" @default.
- W2091746596 hasAuthorship W2091746596A5010836514 @default.
- W2091746596 hasAuthorship W2091746596A5050716572 @default.
- W2091746596 hasAuthorship W2091746596A5061195038 @default.
- W2091746596 hasAuthorship W2091746596A5073780213 @default.
- W2091746596 hasBestOaLocation W20917465962 @default.
- W2091746596 hasConcept C119857082 @default.
- W2091746596 hasConcept C132525143 @default.
- W2091746596 hasConcept C136389625 @default.
- W2091746596 hasConcept C142724271 @default.
- W2091746596 hasConcept C153180895 @default.
- W2091746596 hasConcept C154945302 @default.
- W2091746596 hasConcept C2779134260 @default.
- W2091746596 hasConcept C2779483572 @default.
- W2091746596 hasConcept C41008148 @default.
- W2091746596 hasConcept C50644808 @default.
- W2091746596 hasConcept C534262118 @default.
- W2091746596 hasConcept C58973888 @default.
- W2091746596 hasConcept C71924100 @default.
- W2091746596 hasConcept C80444323 @default.
- W2091746596 hasConceptScore W2091746596C119857082 @default.
- W2091746596 hasConceptScore W2091746596C132525143 @default.
- W2091746596 hasConceptScore W2091746596C136389625 @default.
- W2091746596 hasConceptScore W2091746596C142724271 @default.
- W2091746596 hasConceptScore W2091746596C153180895 @default.
- W2091746596 hasConceptScore W2091746596C154945302 @default.
- W2091746596 hasConceptScore W2091746596C2779134260 @default.
- W2091746596 hasConceptScore W2091746596C2779483572 @default.
- W2091746596 hasConceptScore W2091746596C41008148 @default.
- W2091746596 hasConceptScore W2091746596C50644808 @default.
- W2091746596 hasConceptScore W2091746596C534262118 @default.
- W2091746596 hasConceptScore W2091746596C58973888 @default.
- W2091746596 hasConceptScore W2091746596C71924100 @default.
- W2091746596 hasConceptScore W2091746596C80444323 @default.
- W2091746596 hasIssue "10" @default.
- W2091746596 hasLocation W20917465961 @default.
- W2091746596 hasLocation W20917465962 @default.
- W2091746596 hasLocation W20917465963 @default.
- W2091746596 hasLocation W20917465964 @default.
- W2091746596 hasOpenAccess W2091746596 @default.
- W2091746596 hasPrimaryLocation W20917465961 @default.
- W2091746596 hasRelatedWork W2295628041 @default.
- W2091746596 hasRelatedWork W2752124967 @default.
- W2091746596 hasRelatedWork W2981850339 @default.
- W2091746596 hasRelatedWork W3094076422 @default.
- W2091746596 hasRelatedWork W3095538999 @default.
- W2091746596 hasRelatedWork W3162567751 @default.
- W2091746596 hasRelatedWork W3210156800 @default.
- W2091746596 hasRelatedWork W4220882831 @default.
- W2091746596 hasRelatedWork W4226172683 @default.
- W2091746596 hasRelatedWork W4249546094 @default.
- W2091746596 hasVolume "21" @default.
- W2091746596 isParatext "false" @default.
- W2091746596 isRetracted "false" @default.
- W2091746596 magId "2091746596" @default.
- W2091746596 workType "article" @default.